class_docstr: Implementation of the model H/ASP without batch normalization in speaker embedding. This model was proposed in: https://arxiv.org/abs/2009.14153
  Adapted from: https://github.com/clovaai/voxceleb_trainer
class_docstr_tok: ["Implementation","of","the","model","H\/ASP","without","batch","normalization","in","speaker","embedding",".","This","model","was","proposed","in",":","https",":","\/\/arxiv.org\/abs\/2009.14153","Adapted","from",":","https",":","\/\/github.com\/clovaai\/voxceleb_trainer"]
code: def new_parameter(self, *size):
      out = nn.Parameter(torch.FloatTensor(*size))
      nn.init.xavier_normal_(out)
      return out
  
file_path: TTS/TTS/encoder/models/resnet.py
imports: import torch
  from torch import nn
  from TTS.encoder.models.base_encoder import BaseEncoder
label_desc: Use image node_id 4 for calling the ResNetSpeakerEncoder obj's underlying member method code with example usage: obj.new_parameter() and returns: out